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NEW QUESTION: 1
After you deploy the RegionalSales report, users report that they cannot see product data when they receive the reports by email.
You need to ensure that the sales department managers can see all of the data.
In the report, you update the Hidden property of each group.
What should you do next?
A. When the report is initially run, select Show or hide based on an expression. Set the expression to =NOT (Globals!RenderFormat.IsInteractive).
B. When the report is initially run, select Show or hide based on an expression. Set the expression to = (Globals!RenderFormat.IsInteractive)
C. When the report is initially run, select Hide.
D. When the report is initially run, select Show.
Answer: B
Explanation:
Topic 1, Tailspin Toys
Tailspin Toys is a multinational company that manufactures toys. Tailspin Toys has offices in five regions worldwide. The company sells toys at various retail stores. The company also sells toys directly to consumers through a web site.
The company has the following departments:
* Sales
* Distribution
* Manufacturing
Each department has an office in each region.
The fiscal calendar of Tailspin Toys runs from June to May.
The network contains a server farm that has Microsoft SharePoint Server 2013 installed.
Existing Environment
Current Database Environment
Each department uses SharePoint team sites for internal collaboration.
All manufacturing information is stored in a relational database named Manufacturing. All sales information is stored in a relational database named Sales.
Tailspin Toys deploys SQL Server Analysis Services (SSAS) and configures SSAS to use tabular models. SSAS will be used for all sales reports.
Tailspin Toys deploys a SQL Server Reporting Services (SSRS) instance in SharePoint mode.
Sales Database
A database named Sales contains two tables named FactSales and DimProduct.
FactSales contains the following columns:
* SalesID
* Total Due
* OrderDate
DimProduct contains the following columns:
* ProductID
* ProductName
* ProductCategory
* ProductSubcategory
The Sales database contains information about the products. Most of the products have a category and a subcategory. Certain products only have a category.
A sample from DimProduct is shown in the following table.

Requirements
Security Requirements
Tailspin Toys identifies the following security requirement:
* Sales department users must be allowed to view the sales transactions from their region only.
* Sales department users must be able to view the contents of the manufacturing reports.
* Manufacturing department users must be able to create new manufacturing reports.
* Third-party and custom solutions must NOT be deployed to the reporting server.
* Sales department users must NOT be able to create new manufacturing reports.
Planned Reporting Implementation
The manufacturing department plans to use the SSRS instance for its reports. The manufacturing department also plans to make its reports accessible from SharePoint. All manufacturing reports will use an existing database named Manufacturing.
Reporting Requirements
Tailspin Toys identifies the following reporting requirements:
* All reports must contain the company logo and a header that contains the date and the time that the report was executed.
* All reports must be created by using the SQL Server Data Tools.
Manufacturing report
You plan to create a report named ManufacturingIssues.rdl. The report has the following requirements:
* Manufacturing department managers must be able to view product issues by product type, manufacturing plant location, and error type.
* The manufacturing department managers must be able to change views by choosing options from drop-down lists.
Sales reports
You plan to create a sales report named RegionalSales.rdl. The report has the following requirements:
* Users must be able to view the report by using a web browser. By default, subcategories and product details must be hidden when using the browser.
* Users must be able to subscribe to receive the report by email. The report must be sent by email as a PDF attachment.
You plan to create a quarterly sales report named QuarterSales.rdl. The report must display sales data by fiscal quarter.
Technical Requirements
Tailspin Toys identifies the following technical requirements:
* Products in the DimProduct table that do NOT have a subcategory must use the category value as the subcategory value.
* SSRS must NOT connect to databases more frequently than once every 30 minutes.
* Sales department users must be able to use Microsoft Excel to browse tabular data.

NEW QUESTION: 2
CORRECT TEXT
Problem Scenario 81 : You have been given MySQL DB with following details. You have been given following product.csv file product.csv productID,productCode,name,quantity,price
1001,PEN,Pen Red,5000,1.23
1002,PEN,Pen Blue,8000,1.25
1003,PEN,Pen Black,2000,1.25
1004,PEC,Pencil 2B,10000,0.48
1005,PEC,Pencil 2H,8000,0.49
1006,PEC,Pencil HB,0,9999.99
Now accomplish following activities.
1 . Create a Hive ORC table using SparkSql
2 . Load this data in Hive table.
3 . Create a Hive parquet table using SparkSQL and load data in it.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create this tile in HDFS under following directory (Without header}
/user/cloudera/he/exam/task1/productcsv
Step 2 : Now using Spark-shell read the file as RDD
// load the data into a new RDD
val products = sc.textFile("/user/cloudera/he/exam/task1/product.csv")
// Return the first element in this RDD
prod u cts.fi rst()
Step 3 : Now define the schema using a case class
case class Product(productid: Integer, code: String, name: String, quantity:lnteger, price:
Float)
Step 4 : create an RDD of Product objects
val prdRDD = products.map(_.split(",")).map(p =>
Product(p(0).tolnt,p(1),p(2),p(3}.tolnt,p(4}.toFloat))
prdRDD.first()
prdRDD.count()
Step 5 : Now create data frame val prdDF = prdRDD.toDF()
Step 6 : Now store data in hive warehouse directory. (However, table will not be created } import org.apache.spark.sql.SaveMode prdDF.write.mode(SaveMode.Overwrite).format("orc").saveAsTable("product_orc_table") step 7: Now create table using data stored in warehouse directory. With the help of hive.
hive
show tables
CREATE EXTERNAL TABLE products (productid int,code string,name string .quantity int, price float}
STORED AS ore
LOCATION 7user/hive/warehouse/product_orc_table';
Step 8 : Now create a parquet table
import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("parquet").saveAsTable("product_parquet_ table")
Step 9 : Now create table using this
CREATE EXTERNAL TABLE products_parquet (productid int,code string,name string
.quantity int, price float}
STORED AS parquet
LOCATION 7user/hive/warehouse/product_parquet_table';
Step 10 : Check data has been loaded or not.
Select * from products;
Select * from products_parquet;

NEW QUESTION: 3
You are an ML engineer in the contact center of a large enterprise. You need to build a sentiment analysis tool that predicts customer sentiment from recorded phone conversations. You need to identify the best approach to building a model while ensuring that the gender, age, and cultural differences of the customers who called the contact center do not impact any stage of the model development pipeline and results. What should you do?
A. Convert the speech to text and extract sentiments based on the sentences
B. Convert the speech to text and extract sentiment using syntactical analysis
C. Convert the speech to text and build a model based on the words
D. Extract sentiment directly from the voice recordings
Answer: A